比特币矿工投降和创纪录的高哈希率指向可能的价格底部：CryptoQuant

币界网Published on 2024-08-14Last updated on 2024-08-14

币界网报道：
尽管最近比特币价格下跌，矿工们仍在提高他们的网络哈希率，这表明在通常标志着价格触底的投降事件后，市场情绪乐观。8月5日，比特币流出量飙升至19000 BTC，为3月18日以来的最高水平，这是一次重大的矿工投降。这是在比特币价格触及49000美元之际发生的，这表明随着利润率收紧，矿工们纷纷抛售以弥补成本。
链上分析公司CryptoQuant在与CoinDesk的一份报告中分享，在投降事件发生后，网络哈希率本周创下历史新高，比特币（BTC）矿工正在再次扩大产能。

Related Reads

Yao Shunyu's 88 Days

Yao Shunyu, a 27-year-old AI expert with a background from Princeton and OpenAI, joined Tencent in September 2025. Within 88 days, he led a major overhaul of Tencent’s AI strategy and organization, resulting in the release of Hunyuan Hy3 preview—a MoE model with 295B total parameters and 21B active parameters, supporting up to 256K context length. The launch came after Tencent leadership, including CEO Ma Huateng and President Martin Lau, openly criticized Hunyuan's earlier underperformance—citing slow development, over-reliance on superficial benchmark optimization, and poor generalization in real-world applications. Internal adoption was low, with key business units like WeChat and gaming seeking external AI solutions. Yao reshaped Tencent’s AI approach by integrating previously siloed teams, dissolving the ten-year-old Tencent AI Lab, and establishing new units focused on AI infrastructure and data. Hy3 preview was developed using co-design principles, closely aligned with product teams to ensure practical usability from the start. It has already been integrated into core products like Yuanbao, QQ, and enterprise tools. The release signals a shift from chasing rankings to building usable, scalable AI grounded in Tencent’s ecosystem. While external partnerships (like with DeepSeek and OpenClaw) helped retain users temporarily, the focus is now on making Hunyuan a reliable internal foundation. The real test lies in sustaining this new organizational momentum amid fierce competition from Alibaba, DeepSeek, and others.

marsbit11m ago

Yao Shunyu's 88 Days

marsbit11m ago

a16z: How Blockchain Fills the Gaps in AI Agent Identity, Payments, and Trust?

AI Agents are rapidly evolving from tools into autonomous economic participants, but they lack standardized ways to prove identity, authorization, and payment across environments. Blockchain infrastructure addresses these gaps by providing portable identities via wallets, programmable payments through stablecoins, and auditable transaction records on public ledgers. Key challenges include the absence of a universal identity layer (like "KYA" – Know Your Agent) for non-human entities, governance risks when AI systems control critical resources, and the need for trustless payment systems for agent-to-agent commerce. Emerging solutions include on-chain agent registries, encrypted credentials, and crypto-native toolkits that enable delegated authority and verifiable execution. Stablecoins and embedded payment protocols (e.g., x402) are enabling a new class of "headless merchants" where agents transact without human intervention. Trust shifts from manual oversight to cryptographic verification, as scalability demands automated accountability. Ultimately, blockchain allows agents to operate as permissionless economic actors while preserving user control through programmable constraints and transparent governance.

marsbit45m ago

a16z: How Blockchain Fills the Gaps in AI Agent Identity, Payments, and Trust?

marsbit45m ago

Exploring Physical World AGI with "Visual Reasoning", ElorianAI Raises $55 Million

ElorianAI, co-founded by ex-Google AI expert Andrew Dai and former AI specialist Yinfei Yang, has raised $55 million in early funding to develop next-generation AI systems with advanced visual reasoning capabilities. While current large models excel in text-based tasks like programming and math, they perform poorly in visual reasoning—even top models like Gemini only match a 3-year-old’s ability in basic visual benchmarks. The key limitation lies in the architecture of current vision-language models (VLMs), which first convert visual inputs into text before reasoning, losing critical spatial and structural information. ElorianAI aims to build a native multimodal model that processes and reasons directly in visual space, enabling deeper understanding of physical relationships, constraints, and environments. The company plans to release a state-of-the-art visual reasoning model by 2026, with potential applications in robotics, disaster management, engineering, healthcare, and AI hardware. By using high-quality, diverse, and synthetically generated data, ElorianAI intends to create models that don’t just perceive but truly understand and reason about the physical world—bringing us closer to visual AGI.

marsbit1h ago

Exploring Physical World AGI with "Visual Reasoning", ElorianAI Raises $55 Million

marsbit1h ago

This Time, OpenAI Eliminated 90% of Human Designers

OpenAI's latest release, GPT-Image 2, marks a paradigm shift in AI-generated imagery, moving beyond aesthetic quality to logical reasoning and contextual understanding. The model introduces a "thinking mode," where it performs background reasoning—such as mathematical calculations and geographic knowledge—before generating images. This enables highly accurate and context-aware outputs, like a livestream overlay showing precise distance metrics or a brand-aligned poster design. The model excels in rendering Chinese text with remarkable accuracy and aesthetic quality, a significant improvement over previous versions. It supports multi-turn conversational editing via the new Responses API, allowing iterative refinements similar to chatting with a large language model. While GPT-Image 2 demonstrates unprecedented capabilities in commercial applications like marketing material and illustration—potentially displacing many human designers due to its cost efficiency—it still has limitations. Minor artifacts in fine text details persist, and complex prompts can cause extended processing times. Additionally, the technology raises ethical concerns around deepfakes and digital trust. Overall, GPT-Image 2 transitions AI image generation from a novelty to a powerful production-ready tool, redefining industry standards and pushing the boundary of what’s possible in visual AI.

marsbit1h ago

This Time, OpenAI Eliminated 90% of Human Designers

marsbit1h ago

20 Billion Valuation, Alibaba and Tencent Competing to Invest, Whose Money Will Liang Wenfeng Take?

DeepSeek, an AI startup founded by Liang Wenfeng, is reportedly in talks with Alibaba and Tencent for an external funding round that could value the company at over $20 billion. This marks a significant shift, as DeepSeek had previously relied solely on funding from its parent company,幻方量化 (Huanfang Quantitative), and had resisted external investment. The potential valuation would place DeepSeek among the top-tier AI model companies in China, comparable to competitors like MoonDark (valued at ~$18 billion) and ahead of recently listed firms like MiniMax and Zhipu. The funding—which could range from $600 million (for a 3% stake) to $2 billion (for 10%)—is seen as a move to secure resources for model development, retain talent, and support infrastructure needs, particularly as competition in inference models and AI agents intensifies. Both Alibaba and Tencent are eager to invest, not only for financial returns but also to integrate DeepSeek into their broader AI ecosystems. However, DeepSeek’s leadership is cautious about maintaining independence and may prefer financial investors over strategic ones to avoid being locked into a specific tech ecosystem. Alternative options, such as state-backed funds, offer longer-term capital and policy support but may come with slower decision-making and potential constraints on global expansion. With competing AI firms accelerating their IPO plans, DeepSeek’s window for securing optimal terms may be narrowing. The final decision will reflect a trade-off between capital, resources, and strategic independence.

marsbit1h ago

20 Billion Valuation, Alibaba and Tencent Competing to Invest, Whose Money Will Liang Wenfeng Take?

marsbit1h ago

Trading

Spot
Futures

Hot Articles

What is $BITCOIN

DIGITAL GOLD ($BITCOIN): A Comprehensive Analysis Introduction to DIGITAL GOLD ($BITCOIN) DIGITAL GOLD ($BITCOIN) is a blockchain-based project operating on the Solana network, which aims to combine the characteristics of traditional precious metals with the innovation of decentralized technologies. While it shares a name with Bitcoin, often referred to as “digital gold” due to its perception as a store of value, DIGITAL GOLD is a separate token designed to create a unique ecosystem within the Web3 landscape. Its goal is to position itself as a viable alternative digital asset, although specifics regarding its applications and functionalities are still developing. What is DIGITAL GOLD ($BITCOIN)? DIGITAL GOLD ($BITCOIN) is a cryptocurrency token explicitly designed for use on the Solana blockchain. In contrast to Bitcoin, which provides a widely recognized value storage role, this token appears to focus on broader applications and characteristics. Notable aspects include: Blockchain Infrastructure: The token is built on the Solana blockchain, known for its capacity to handle high-speed and low-cost transactions. Supply Dynamics: DIGITAL GOLD has a maximum supply capped at 100 quadrillion tokens (100P $BITCOIN), although details regarding its circulating supply are currently undisclosed. Utility: While precise functionalities are not explicitly outlined, there are indications that the token could be utilized for various applications, potentially involving decentralized applications (dApps) or asset tokenization strategies. Who is the Creator of DIGITAL GOLD ($BITCOIN)? At present, the identity of the creators and development team behind DIGITAL GOLD ($BITCOIN) remains unknown. This situation is typical among many innovative projects within the blockchain space, particularly those aligning with decentralized finance and meme coin phenomena. While such anonymity may foster a community-driven culture, it intensifies concerns about governance and accountability. Who are the Investors of DIGITAL GOLD ($BITCOIN)? The available information indicates that DIGITAL GOLD ($BITCOIN) does not have any known institutional backers or prominent venture capital investments. The project seems to operate on a peer-to-peer model focused on community support and adoption rather than traditional funding routes. Its activity and liquidity are primarily situated on decentralized exchanges (DEXs), such as PumpSwap, rather than established centralized trading platforms, further highlighting its grassroots approach. How DIGITAL GOLD ($BITCOIN) Works The operational mechanics of DIGITAL GOLD ($BITCOIN) can be elaborated on based on its blockchain design and network attributes: Consensus Mechanism: By leveraging Solana’s unique proof-of-history (PoH) combined with a proof-of-stake (PoS) model, the project ensures efficient transaction validation contributing to the network's high performance. Tokenomics: While specific deflationary mechanisms have not been extensively detailed, the vast maximum token supply implies that it may cater to microtransactions or niche use cases that are still to be defined. Interoperability: There exists the potential for integration with Solana’s broader ecosystem, including various decentralized finance (DeFi) platforms. However, the details regarding specific integrations remain unspecified. Timeline of Key Events Here is a timeline that highlights significant milestones concerning DIGITAL GOLD ($BITCOIN): 2023: The initial deployment of the token occurs on the Solana blockchain, marked by its contract address. 2024: DIGITAL GOLD gains visibility as it becomes available for trading on decentralized exchanges like PumpSwap, allowing users to trade it against SOL. 2025: The project witnesses sporadic trading activity and potential interest in community-led engagements, although no noteworthy partnerships or technical advancements have been documented as of yet. Critical Analysis Strengths Scalability: The underlying Solana infrastructure supports high transaction volumes, which could enhance the utility of $BITCOIN in various transaction scenarios. Accessibility: The potential low trading price per token could attract retail investors, facilitating wider participation due to fractional ownership opportunities. Risks Lack of Transparency: The absence of publicly known backers, developers, or an audit process may yield skepticism regarding the project's sustainability and trustworthiness. Market Volatility: The trading activity is heavily reliant on speculative behavior, which can result in significant price volatility and uncertainty for investors. Conclusion DIGITAL GOLD ($BITCOIN) emerges as an intriguing yet ambiguous project within the rapidly evolving Solana ecosystem. While it attempts to leverage the “digital gold” narrative, its departure from Bitcoin's established role as a store of value underscores the need for a clearer differentiation of its intended utility and governance structure. Future acceptance and adoption will likely depend on addressing the current opacity and defining its operational and economic strategies more explicitly. Note: This report encompasses synthesised information available as of October 2023, and developments may have transpired beyond the research period.

363 Total ViewsPublished 2025.05.13Updated 2025.05.13

What is $BITCOIN

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of BTC (BTC) are presented below.

活动图片

Top Questions

Hot Categoriesright-arrow

Hot Tagsright-arrow